Parameters for global ecosystem models
Paul J. Crutzen (),
Ray Fall,
Ian Galbally and
Werner Lindinger
Additional contact information
Paul J. Crutzen: Max-Planck-Institute for Chemistry
Ray Fall: University of Colorado
Ian Galbally: CSIRO
Werner Lindinger: Institute for Ion Physics, University of Innsbruck
Nature, 1999, vol. 399, issue 6736, 535-535
Abstract:
Abstract Tian et al.1 have used their process-based ecosystem model to estimate the net CO2exchanges, also called net ecosystem productivity, for the years 1980-94. They deduced a large interannual variability ranging between −0.2 (from land to atmosphere) and +0.7 petagrams of carbon (Pg C) per year, the variability being mostly a function of soil moisture, which in turn is largely regulated by precipitation and temperature. These values were derived by including the modelled effects of increasing atmospheric levels of CO2. The above numbers are the differences between net primary productivity and heterotrophic respiration. Over the given time period for the CO2feedback case, these values were 5.0 (±0.3) and 4.8 (±0.1) Pg C per year, respectively. The calculated net ecosystem productivity was thus a small fraction, between −4% and +14%, of the net primary productivity, with an average over the 15-year period of +4%.
Date: 1999
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/21098 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:399:y:1999:i:6736:d:10.1038_21098
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/21098
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().